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Infectious Disease Modelling|December 2, 2024
Stronger binding affinities of gp120/CD4 in Catarrhini provide insights into HIV/host interactionsVladimir Li, Chul Lee, TaeHyun Park, et al.Infectious Disease Modelling|December 3, 2024
Conditional logistic individual-level models of spatial infectious disease dynamicsTahmina Akter, Rob DeardonInfectious Disease Modelling|November 25, 2024
Information-guided adaptive learning approach for active surveillance of infectious diseasesQi Tan, Chenyang Zhang, Jiwen Xia, et al.Infectious Disease Modelling|October 9, 2024
Predicting influenza in China from October 1, 2023, to February 5, 2024: A transmission dynamics model based on population migrationHuimin Qu, Yichao Guo, Xiaohao Guo, et al.Infectious Disease Modelling|October 4, 2024
A data science pipeline applied to Australia's 2022 COVID-19 Omicron wavesJames M Trauer, Angus E Hughes, David S Shipman, et al.Infectious Disease Modelling|September 25, 2024
Exploring the influencing factors of scrub typhus in Gannan region, China, based on spatial regression modelling and geographical detectorKailun Pan, Fen Lin, Hua Xue, et al.Infectious Disease Modelling|September 27, 2024
A heterogeneous continuous age-structured model of mumps with vaccineNurbek Azimaqin, Yingke Li, Xianning LiuInfectious Disease Modelling|September 25, 2024
Forecasting influenza epidemics in China using transmission dynamic model with absolute humidityXiaowei Chen, Fangfang Tao, Yinzi Chen, et al.Infectious Disease Modelling|March 4, 2025
Diphtheria transmission dynamics - Unveiling generation time and reproduction numbers from the 2022-2023 outbreak in Kano state, NigeriaRaoul Kamadjeu, Oyeladun Okunromade, Bola Biliaminu Lawal, et al.Infectious Disease Modelling|February 19, 2025
State-space modelling for infectious disease surveillance data: Dynamic regression and covariance analysisChristopher D PrashadPageof 70